475 Reinforcement Learning Jobs - Page 8

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services,...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation L...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Summary : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, delive...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Summary: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Key Responsibilities: Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). Collaborate with solutioning, deliver...

Role Overview: As an Applied AI Engineer at our company, you will have the opportunity to work within a dynamic AI Engineering team based in Vapi, Gujarat. Your role will involve collaborating closely with senior engineers and data scientists to design and implement AI-driven solutions. You will be responsible for developing, optimizing, and deploying machine learning and deep learning models, as well as translating abstract AI challenges into efficient, scalable, and production-ready code. Additionally, you will contribute to data preprocessing, feature engineering, and model evaluation tasks, participate in technical discussions and code reviews, and explore cutting-edge AI frameworks and ...

Role Overview: As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. Key Responsibilities: - Possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms - Strong familiarity with deep learning methods for text analytics - Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Un...

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

Role Overview: As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Key Responsibilities: - Collaborate with cross-functional teams to create next-gen AI solutions...

As a Control System Engineer at Flux Auto, you will be part of a multidisciplinary team dedicated to solving complex challenges in autonomous technology and robotics. Your role will involve developing algorithms, designing path tracking controllers for various vehicle models, implementing control algorithms on real-time embedded systems, and collaborating with other departments to ensure consistency in the department stack. You will work towards achieving autonomy levels 3 and 4 by continuously testing algorithms on simulations and vehicle systems for verification and validation. Key Responsibilities: - Develop algorithms for autonomous vehicle technology - Design path tracking controllers f...

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. - Collaborate closely with the product team to gain insights into business challenges and product objectives - Devise creative algorithmic solutions - Create prototypes and demonstrations to validate new ideas - Transform research findings into practical innovations by collaborating with AI Engineers and software engineers...

As a member of our team at Google, you will have the opportunity to work on developing custom silicon solutions that drive the future of Google's direct-to-consumer products. You will be at the forefront of innovation, contributing to the enhancement of Power Performance Area (PPA) through the utilization of machine learning techniques. Your expertise in physical design and machine learning will be pivotal in shaping the next era of hardware experiences, ensuring unparalleled performance, efficiency, and integration. **Key Responsibilities:** - Contributing to the enhancement of Power Performance Area (PPA) through the utilization of machine learning techniques. - Tackling technical challeng...

Role Overview: As an experienced data scientist with 11-12 years of experience, you are well-versed in statistics, probability theory, and proficient in programming languages such as Python, R, or SQL. Your expertise includes working with reinforcement learning, GenAI, and a deep understanding of machine learning algorithms and models. Your advanced knowledge of data cleaning and preprocessing techniques, coupled with strong data analysis and interpretation skills, allows you to excel in your role. Your excellent communication and presentation skills enable you to effectively communicate complex technical concepts to stakeholders. Additionally, your experience in leading and managing teams m...

As a member of the QuestaSim (Simulation) R&D team at Siemens EDA, you will be responsible for designing and developing AI/ML-driven algorithms and solutions to enhance the performance and capabilities of simulation tools. Your role will involve creating cutting-edge engines and components, integrating machine learning techniques into simulation and verification workflows, and improving existing codebases. Key Responsibilities: - Collaborate with a team of experienced engineers to solve complex problems using AI/ML frameworks. - Utilize data-driven problem-solving skills to achieve project milestones. - Implement supervised and unsupervised learning, neural networks, and reinforcement learni...

Join our innovative team and shape the future of software development with AI-driven solutions. As an Applied AI/GenAI ML Director within the Ai4Tect Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements. Your role will concentrate on es...

As a software developer with 5-7 years of experience, particularly with large-scale data systems, you should possess a B.Tech / B.E or ME/ M.Tech / MCA degree. Your expertise should extend to machine learning concepts such as regression, classification, and clustering. Proficiency in Python (or R, Java, C++) is essential, along with hands-on experience in ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras. A strong foundation in data structures, algorithms, statistics, and DBMS is crucial for this role. Your communication skills, both verbal and written, should cater to technical and non-technical audiences. Additionally, familiarity with data tools like Pandas, NumPy, and SQL, a...

Role Overview: As a Mid-Level AI Software Engineer at Google, you will be a key contributor in developing, deploying, and scaling AI-powered solutions that directly impact Google's employees. Working within the Human Resources Engineering (HRE) team in Hyderabad, you will collaborate with engineers, researchers, and HR professionals to shape the future of HR at Google. Key Responsibilities: - Write code for product and system development. - Engage in design and code reviews to ensure best practices are implemented across various technologies. - Contribute to documentation and educational resources. - Adjust content based on user feedback and program updates. - Diagnose and resolve product or...

As a Senior Data Scientist at AryaXAI, you will have the opportunity to work on cutting-edge AI innovations for highly regulated industries, with a focus on building explainable, safe, and aligned systems that scale responsibly. You will be part of a team that values collaboration, innovation, and excellence, contributing to mission-critical projects in the financial services industry and beyond. **Key Responsibilities:** - **Model Evaluation & Customization:** Lead the evaluation and customization of AI models to ensure explainability and compliance. - **Architectural Assessment:** Conduct assessments of AI architecture to meet the requirements of regulated environments. - **Enterprise Inte...

As a software developer with 5-7 years of experience, particularly in large-scale data systems, you will be expected to possess a solid understanding of Machine Learning concepts such as regression, classification, and clustering. Proficiency in Python is a must, while familiarity with other programming languages like R, Java, or C++ would also be advantageous. It is essential to have hands-on experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, and Keras for this role. Key Responsibilities: - Demonstrate expertise in Machine Learning concepts including regression, classification, and clustering - Utilize Python programming skills effectively, with knowledge of other langu...

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include: - Designing and implementing intelligent budget, tROAS, and SKU recommendations. - Implementing simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. - Leading the development of GenAI-powered creative optimization and automati...

Design and develop AI and Generative AI based custom solutions. Work with other team members to implement and deploy generative AI systems into production. Monitor and manage generative AI systems in production to ensure that they are meeting performance and reliability requirements. Develop and implement best practices for building, deploying, and managing generative AI systems. Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work. Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions. Mentor and guide junior engineers Preferred Skills and Experience Strong experien...